Analysis of the rat hypothalamus proteome by data-independent label-free LC-MS/MS
| Autor: | Bob Amess, Malgorzata S. Martin-Gronert, Daniel Martins-de-Souza, Sebastian Urday, Paul C. Guest, Sabine Bahn, Susan E. Ozanne, Yishai Levin, Viktoria Stelzhammer |
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| Přispěvatelé: | Neurosciences |
| Rok vydání: | 2012 |
| Předmět: |
Proteomics
Protein family Proteome Hypothalamus Peptide Nerve Tissue Proteins Biology Biochemistry Tandem Mass Spectrometry Lc ms ms Endocrine system Animals Isoelectric Point Rats Wistar Databases Protein Molecular Biology chemistry.chemical_classification Peptide Fragments Rats Cytosol Membrane protein chemistry Biomarkers Chromatography Liquid |
| Zdroj: | Proteomics, 12(22), 3386-3392. Wiley-VCH |
| ISSN: | 1615-9853 |
| Popis: | Studies of neuronal, endocrine, and metabolic disorders would be facilitated by characterization of the hypothalamus proteome. Protein extracts prepared from 16 whole rat hypothalami were measured by data-independent label-free nano LC-MS/MS. Peptide features were detected, aligned, and searched against a rat Swiss-Prot database using ProteinLynx Global Server v.2.5. The final combined dataset comprised 21 455 peptides, corresponding to 622 unique proteins, each identified by a minimum of two distinct peptides. The majority of the proteins (69%) were cytosolic, and 16% were membrane proteins. Important proteins involved in neurological and synaptic function were identified including several members of the Ras-related protein family and proteins involved in glutamate biosynthesis. |
| Databáze: | OpenAIRE |
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